Decoding cancer dynamics: Hypergraph analysis of stem cell marker interactions through O-information and community detection.

IF 2.2 3区 物理与天体物理 Q2 PHYSICS, FLUIDS & PLASMAS
David H Margarit, Marcela V Reale, Gustavo Paccosi, Lilia M Romanelli
{"title":"Decoding cancer dynamics: Hypergraph analysis of stem cell marker interactions through O-information and community detection.","authors":"David H Margarit, Marcela V Reale, Gustavo Paccosi, Lilia M Romanelli","doi":"10.1103/PhysRevE.111.054410","DOIUrl":null,"url":null,"abstract":"<p><p>This study explores the systemic interactions between cancer stem cell markers (CSCMs) and cancer-affected organs through a hypergraph-based approach. By modeling organs as nodes and CSCMs as hyperedges, we capture multiway relationships beyond conventional pairwise analyses. Using the Louvain algorithm, we identify clusters of organs with shared CSCM profiles, revealing potential tumorigenic pathways and functional networks. Additionally, O-information quantifies redundancy and synergy, highlighting CSCMs with systemic influence on tumor progression and metastasis. These findings provide a structured framework for understanding CSCM dynamics across organ systems, offering insights that may inform targeted, multiorgan therapeutic strategies.</p>","PeriodicalId":48698,"journal":{"name":"Physical Review E","volume":"111 5-1","pages":"054410"},"PeriodicalIF":2.2000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Review E","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1103/PhysRevE.111.054410","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, FLUIDS & PLASMAS","Score":null,"Total":0}
引用次数: 0

Abstract

This study explores the systemic interactions between cancer stem cell markers (CSCMs) and cancer-affected organs through a hypergraph-based approach. By modeling organs as nodes and CSCMs as hyperedges, we capture multiway relationships beyond conventional pairwise analyses. Using the Louvain algorithm, we identify clusters of organs with shared CSCM profiles, revealing potential tumorigenic pathways and functional networks. Additionally, O-information quantifies redundancy and synergy, highlighting CSCMs with systemic influence on tumor progression and metastasis. These findings provide a structured framework for understanding CSCM dynamics across organ systems, offering insights that may inform targeted, multiorgan therapeutic strategies.

解码癌症动力学:通过o -信息和社区检测的干细胞标记相互作用的超图分析。
本研究通过基于超谱的方法探讨了癌症干细胞标记物(CSCMs)与癌症受影响器官之间的系统性相互作用。通过将器官建模为节点,将cscm建模为超边缘,我们捕获了传统两两分析之外的多向关系。使用Louvain算法,我们确定了具有共享CSCM谱的器官簇,揭示了潜在的致瘤途径和功能网络。此外,O-information量化了冗余和协同作用,强调了CSCMs对肿瘤进展和转移的系统性影响。这些发现为理解跨器官系统的CSCM动力学提供了一个结构化的框架,为有针对性的多器官治疗策略提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Physical Review E
Physical Review E PHYSICS, FLUIDS & PLASMASPHYSICS, MATHEMAT-PHYSICS, MATHEMATICAL
CiteScore
4.50
自引率
16.70%
发文量
2110
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信